Profile Job Results
Jobs
jgje6wev5
Results Ready
Name
mediapipe_pose_w8a8_PoseDetector
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 128, 128, 3]Completion Time
12/14/2025, 12:48:03 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
331 μs
Estimated Peak Memory Usage
0 ‑ 11 MB
Compute Units
NPU
113
| Stage | Time | Memory |
|---|---|---|
First App Load | 510 ms | 111‑112 MB |
Subsequent App Load | 509 ms | 87‑88 MB |
Inference | 331 μs | 0‑11 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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